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Biomedical subjects

H Hiilloskorpi

Publications and source records attributed to H Hiilloskorpi.

3 recordsLinked to original sources

Weight and diet concerns in Finnish female and male athletes.

UNLABELLED: PURPOSES AND METHODS: Factors related to eating disorders were studied in five groups of female (N = 173) and male (N = 190) athletes, and in female (N = 79) and male (N = 61) controls. Factors associated with menstrual status were also examined. RESULTS: The sum of drive for thinness and body dissatisfaction subscales in the Eating Disorders Inventory was higher (P < 0.05) in female controls (median: 5; 25th and 75th percentiles: 1 and 14) than in endurance athletes (0; 0 and 2). The male groups did not differ from each other (P = 0.08) or from female subjects (P = 0.62). The preferred weight loss in the female controls (-4.0 kg; -6.2 and -2.0) was larger (P < 0.05) than in most athletic groups. Males, on average, did not want to lose weight (different from females, P < 0.001). The prevalence of weight reduction attempts (85%) in female weight-class athletes was higher (P < 0.05) compared with endurance and ballgame athletes and the controls (29-58%). In males, the frequency (93%) of weight reduction attempts was also highest in the weight-class athletes (P < 0.05). The prevalence of menstrual disturbances was 27-37% in aesthetic, endurance, and weight-class athletes, and 5% in controls (P = 0.06). CONCLUSIONS: The results confirmed that the risk for eating disorders is dependent on the type of sport. The claim that some female athlete groups are at greater risk than controls did not receive evidence.

Adolescent↗

Assessment of energy expenditure in overweight women.

PURPOSE: To compare field measures of average daily energy expenditure (ADEE) against criterion data by the doubly labeled water method (DLW) in overweight women. METHODS: The subject were 20 overweight (BMI 29.9 +a- 3.0 kg.m-2) premenopausal women. Energy expenditure was measured by DLW and by the factorial method (activity diary, two techniques differing by method to obtain resting energy expenditure, REE), heart-rate monitoring (HR, two techniques differing by the FLEX-point to discriminate sedentary and activity HR), accelerometer, and pedometer. RESULTS: The ADEE(DLW) was 10.26 +a- 1.1 MJ.d-1. The mean bias (ADEE by the alternative minus ADEE(DLW) was smallest for the accelerometer (+ 0.08 +a- 1.63 MJ) and HR-FLEX10 (+ 0.11 +a- 1.67 MJ). The HR-FLEX(0) technique (lower FLEX-point) overestimated ADEE by + 1.18 (+a- 1.97 MJ). However, the random error (SD of bias) was smaller for both factorial techniques (REE measured: -0.48 +2- 0.81 MJ; REE calculated from the WHO equation: -0.22 +2- 0.88 MJ). CONCLUSION: The results show that simple factorial methods may assess ADEE with small random errors in population with a rather narrow range of physical activity. The accelerometer and HR with the higher FLEX-point have comparable results with smaller bias but larger random error compared with the factorial techniques.

Adult↗